How long will my retirement savings last?

A $1,000,000 portfolio using a 4% withdrawal rate ($40,000/year) has historically lasted 30+ years in 95% of historical scenarios. Withdrawing 5% drops that success rate to roughly 80% over 30 years. Sequence of returns in the first decade is the single biggest factor determining whether your savings last.

Formula

Portfolio Longevity: Annual Withdrawal ÷ Portfolio Value = Withdrawal Rate. If withdrawal rate ≤ 4%, historically 30-year success rate ≥ 95%. Each 0.5% increase in withdrawal rate meaningfully reduces long-term survival probability.

Example

James retires at 62 with $800,000. He withdraws $36,000/year (4.5% rate). Over a 30-year retirement, historical success rate is roughly 85–87% — acceptable but not bulletproof. If he delays Social Security to 67 and reduces portfolio withdrawals to $24,000/year (3% rate) in the interim, his portfolio survival probability rises above 97% for a 35-year horizon.

How it works in detail

How long retirement savings last depends on three variables: portfolio size, annual withdrawal amount, and investment returns — especially their sequence. The foundational research comes from William Bengen (1994), who found that a 4% initial withdrawal rate, adjusted for inflation annually, survived every 30-year historical period using a 50–75% equity allocation. The Trinity Study (1998) confirmed this with a 95%+ success rate over 30-year periods. For early retirees facing 40–50 year retirements, the calculus shifts. Pfau and Kitces have shown that a 3.3–3.5% withdrawal rate provides higher confidence over longer horizons. A sequence-of-returns shock — poor markets in the first 5–10 years of retirement — can permanently impair a portfolio even if average long-term returns are fine, because withdrawals lock in losses before recovery. Practical strategies to extend portfolio longevity include: flexible spending (cutting withdrawals 10% in down years), a cash buffer of 1–2 years of expenses, a bond tent around retirement date, and delaying Social Security to reduce portfolio dependency. Monte Carlo simulation, which runs thousands of randomized return scenarios, gives a more realistic probability range than historical backtests alone.

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